Tumblr is a social media platform that allows its users to express themselves by posting short Tumblr blogs and connecting with other users that have the same interests as them. It’s appealing to many users because of its free-form nature that allows users heavy customization on anything inside their own pages.
With Tumblr’s popularity, marketers or website owners can use it to generate traffic for your own business or website. This can take a lot of time and effort to be successful and it’s not even guaranteed to succeed. Fortunately, there is another way to accomplish this and that is through a Tumblr bot which creates and manages multiple accounts and creates traffic for you. However, The problem is that Tumblr has strict anti-spam policies that would immediately ban your Tumblr account and IP address if it detects that you’re using a bot.
The only way around this problem is using a Tumblr proxy whenever you’re using the bot. Proxies mask your IP address and only shows any website you visit its own IP address. With rotating proxies, these IP addresses will change based on a set time of your choosing. So, any new account the bot would create would have a different IP address allowing you to deceive Tumblr by making it seem like the bot is a “real” user every time.
The best Tumblr proxies for bot automation would be residential proxies. Residential Proxies use real IPs from actual devices giving you minimal chances of being banned by Tumblr. With the best residential proxies, you can do risk-free Tumblr automation. You can even scrape Tumblr to gather data on a target audience and unblocking Tumblr would become possible from countries or networks that have banned it.
Let’s set up a Tumblr proxy server.
Note: Make sure that the web browser you’re using for Tumblr is set to automatically copy your computer’s proxy settings. Google Chrome automatically does this, so it’s recommended to use it.
For Windows:
To set up proxies in Windows, simply search for “Proxy Settings” in your windows search bar and open the search result.
You are then given two options to choose from: Automatic proxy setup or Manual proxy setup. If you want windows to automatically detect your proxy settings, choose the first option. Choose the second option if you want to utilize a specific ip address and port number.
If you chose the first option, then:
- Turn on Automatically detect Settings
- Turn on Use setup script
- Enter the script address
- Click Save
If you chose the second option, then:
- Turn on Use a proxy server
- Input both server address and port number
- If you have any addresses you would like to visit without a proxy, enter them here
- Turn on Don’t use the proxy server for local addresses check box if you want to access a local server without a proxy
- Click Save
For Mac.
To start configuring your proxy settings in MacOS, simply:
Step 1. Click on the Apple Icon.
Step 2. On the drop down menu, click on “System Preferences”.
Step 3. Click on “Network”
Step 4. Click on “Advanced”
Note: Make sure to connect to your wi-fi first.
Step 5. Click on “Proxies”
This should then redirect you to MacOS proxy settings. MacOS is more straightforward compared to windows. You only have one option which is to manually configure your proxy server.
Here are the steps to follow:
- Select which proxy IP protocol you want to configure. This depends on which protocols your proxy service provider offers.
- Turn on Secure Web Proxy
- Input the Proxy Server Address and Port Number
- Click OK to save the configurations
Note: You may be prompted for your Mac user password to save your settings.
For Mobile:
To set up a mobile proxy server for Tumblr, simply change your phone’s proxy settings. The mobile web browser you’re using for Tumblr will automatically copy your phone’s proxy settings whenever you use it. This is applicable for both Android and IOS. Here’s a thorough guide for Android and another one for iPhone.
Congratulations! You have now finished configuring a Tumblr proxy server. Note that the first time you visit it, there will be a pop up asking for your login credentials.
